M. Pavlíček

Do Large Language Models Prefer Their Developer’s Home Country? A US–China Audit of Scores Under National Attribution

We examine how developer origin, citizenship-perspective instructions, and English versus Mandarin presentation shape sentiment scores from large language models (LLMs) for nationality-matched actions. Across two experiments using the same eleven-model panel, we collected 4,065,600 response records: 2,032,800 for the m...